4 research outputs found
DIAGNOSTIC BIOLOGIQUE DE LA BRUCELLOSE HUMAINE: COMPARAISON DE DEUX TECHNIQUES DE SEROAGGLUTINATION
objective: Evaluate the technical characteristics of two agglutination techniques used for the detection of serum antibodies of Brucella. Material and methods: The search for Brucella antibodies was performed in 100 serum samples. They come from patients with brucellosis was suspected on clinical and epidemiological criteria. The average age was 31 years with a standard deviation of 1.5 and a sex ratio (M / W) is equal to 2. The two methods used are (manual): 1- BRUCELLACAPTÂź (Vircell,Spain) 2- ROSE BENGAL Âź (Bio-Rad, France). Results: The results showed a concordance between the two techniques of 92% (80% negative results and 12% positive), and discrepancy of 8%. Conclusion: Discordant results demonstrate the need to always integrate the approach diagnostic of a clinical and epidemiological data associated with biological data, and secondly, to take into account the threshold value of detection of serological markers of the technique used.Objectif : Evaluer les caractĂ©ristiques de deux techniques de sĂ©roagglutination pour la dĂ©tection des anticorps sĂ©riques anti-Brucella. MatĂ©riel et mĂ©thodes : La recherche des anticorps anti Brucella a Ă©tĂ© effectuĂ©e sur 100 Ă©chantillons de sĂ©rums, provenant de patients chez qui la brucellose a Ă©tĂ© suspectĂ©e sur des critĂšres cliniques et Ă©pidĂ©miologiques. La moyenne dâĂąge est de 31 ans avec un Ă©cart type de 1,5 et un sex-ratio (H/F) de 2. Les deux mĂ©thodes de sĂ©roagglutination utilisĂ©es (manuelles) sont : 1- BRUCELLACAPTÂź (Vircell,Espagne) 2- ROSE BENGALEÂź (Bio Rad, France). RĂ©sultats : Les rĂ©sultats ont montrĂ© une concordance entre les deux techniques de 92% (80% nĂ©gatifs et 12% positifs), et une disconcordance de 8%. Conclusion : Les rĂ©sultats discordants dĂ©montrent la nĂ©cessitĂ© dâintĂ©grer Ă la dĂ©marche diagnostic, les donnĂ©es cliniques, Ă©pidĂ©miologiques, lâĂ©volution de la maladie, ainsi que les donnĂ©es biologiques et de prendre en considĂ©ration la valeur seuil de dĂ©tection des marqueurs sĂ©rologiques de la technique utilisĂ©e
COMPARAISON DE DEUX TECHNIQUES IMMUNOENZYMATIQUES ELISA POUR LA DETECTION DES ANTICORPS IgG SERIQUES ANTIRUBEOLIQUES
OBJECTIF: Il sâagit dâĂ©valuer les caractĂ©ristiques de deux techniques immunoenzymatiques ELISA (principe, performances et limites) pour la dĂ©tection des IgG sĂ©riques antirubĂ©olique. MATERIEL ET METHODES: L a recherche des IgG antirubĂ©oliques a Ă©tĂ© effectuĂ©e dans 100 Ă©chantillons de sĂ©rums recueillis dans le laboratoire dâimmunosĂ©rologie du CHU Ibn Rochd de Casablanca. Ils proviennent de patients hospitalisĂ©s et de consultants externes du CHU. Il sâagit pour la plupart de jeunes femmes (85%) et de nouveaux nĂ©s (12%). Les deux mĂ©thodes immunoenzymatiques ELISA utilisĂ©es sont : 1- kit VircellÂźSpain (technique manuelle) 2- AxsymAbbottÂźUSA (technique microparticulaire automatisĂ©e). RESULTATS: Les rĂ©sultats sĂ©rologiques pour la dĂ©tection des anticorps IgG antirubĂ©olique ont montrĂ© une concordance entre les deux techniques de 94% (90% des rĂ©sultats positifs et 4% nĂ©gatifs et une discordance de 6%. CONCLUSION: MĂȘme si la concordance entre les deux techniques est de 94%, les rĂ©sultats discordants dĂ©montrent la nĂ©cessitĂ© dâintĂ©grer toujours la dĂ©marche diagnostique, dâune part les donnĂ©es cliniques associĂ©es aux donnĂ©es biologiques, et dâautres part, de prendre en considĂ©ration la valeur seuil de dĂ©tection des marques sĂ©rologiques spĂ©cifiques de la technique utilisĂ©e, ainsi que la qualitĂ© des Ă©chantillons testĂ©s
Chlamydia trachomatis ompA Variants in Trachoma: What Do They Tell Us?
Trachoma is an important cause of blindness resulting from transmission of the bacterium Chlamydia trachomatis. One way to understand better how this infection is transmitted and how the human immune system controls it is to study the strains of bacteria associated with infection. Comparing strains before and after treatment might help us learn if someone has a new infection or the same one as before. Identifying differences between disease-causing strains should help us understand how infection leads to disease and how the human host defences work. We chose to study variation in the chlamydial gene ompA because it determines the protein MOMP, one of the leading candidates for inclusion in a vaccine to prevent trachoma. If immunity to MOMP is important in natural trachoma infections, we would expect to find evidence of this in the way the strains varied. We did not find this, but instead found that two common strains seemed to cause different types of disease. Although their MOMPs were very slightly different, this did not really explain the differences. We conclude that methods of typing strains going beyond the ompA gene will be needed to help us understand the interaction between Chlamydia and its human host